DocumentCode :
130669
Title :
A linear adaptive algorithm for data fusion in distributed detection systems
Author :
Pereira David, Rodrigo ; Sampaio-Neto, Raimundo ; Medina, Cesar A.
Author_Institution :
Dept. of Telecommun., INMETRO, Rio de Janeiro, Brazil
fYear :
2014
fDate :
26-29 Aug. 2014
Firstpage :
370
Lastpage :
374
Abstract :
In this work we propose an adaptive fusion procedure to perform data detection in distributed detection systems with a decode-then-fuse type of receiver. Differently from previously proposed fusion rules, where nodes statistics (e.g. miss detection, false alarm and a priori probabilities) and channel transition probabilities are generally needed, the proposed non-assisted adaptive fusion algorithm adapts its coefficients and decision threshold based only on the received signals, so that time-varying or inhomogeneous distributed detection systems are well suited. Computer simulations show that the proposed adaptive fusion strategy delivers a performance very close to the optimal fusion rule.
Keywords :
probability; sensor fusion; signal detection; adaptive data fusion procedure; channel transition probability; decode-then-fuse type; distributed data detection systems; inhomogeneous distributed detection systems; linear adaptive algorithm; node statistics; Adaptive algorithms; Error analysis; Least squares approximations; Probability; Signal to noise ratio; Vectors; Wireless sensor networks; Data Fusion; Distributed Detection; Linear Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Systems (ISWCS), 2014 11th International Symposium on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/ISWCS.2014.6933380
Filename :
6933380
Link To Document :
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